CrawlJobs Logo
Myticas Consulting Logo Myticas Consulting · IT - Software Development

Data Engineer

Canada, Toronto · Job Posted May 30, 2026
Apply Position
Job Link Share

Job Description

Our confidential banking client is seeking a Data Engineer to build, optimize, and support cloud-based data platforms, ingestion pipelines, and real-time data processing solutions.

Job Responsibility

  • Develop and maintain scalable data ingestion and transformation pipelines
  • Support real-time data streaming and event-driven architectures
  • Build and optimize data workflows within AWS environments
  • Monitor, troubleshoot, and support production data platforms
  • Implement data quality, security, and governance controls
  • Collaborate with architects, analysts, and business teams

Requirements

  • Strong experience with Amazon S3
  • Hands-on experience with AWS Glue and Apache Spark
  • Experience with Apache Kafka and streaming data architectures
  • Expertise with Amazon Redshift and Amazon Athena
  • Experience with AWS Step Functions and/or Apache Airflow
  • Strong understanding of AWS IAM, Lake Formation, and data security
  • Experience developing and supporting enterprise data pipelines
  • Strong performance tuning and troubleshooting skills

Nice to have

  • Banking or financial services experience
  • Knowledge of data governance and regulatory environments
Myticas Consulting - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Data Engineer

8 matching positions

Senior Data Engineer – Data Engineering & AI Platforms

We are looking for a highly skilled Senior Data Engineer (L2) who can design, bu...
Location
Location
India , Chennai, Madurai, Coimbatore
Salary
Salary:
Not provided
optisolbusiness.com Logo
OptiSol Business Solutions
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong hands-on expertise in cloud ecosystems (Azure / AWS / GCP)
  • Excellent Python programming skills with data engineering libraries and frameworks
  • Advanced SQL capabilities including window functions, CTEs, and performance tuning
  • Solid understanding of distributed processing using Spark/PySpark
  • Experience designing and implementing scalable ETL/ELT workflows
  • Good understanding of data modeling concepts (dimensional, star, snowflake)
  • Familiarity with GenAI/LLM-based integration for data workflows
  • Experience working with Git, CI/CD, and Agile delivery frameworks
  • Strong communication skills for interacting with clients, stakeholders, and internal teams
Job Responsibility
Job Responsibility
  • Design, build, and maintain scalable ETL/ELT pipelines across cloud and big data platforms
  • Contribute to architectural discussions by translating business needs into data solutions spanning ingestion, transformation, and consumption layers
  • Work closely with solutioning and pre-sales teams for technical evaluations and client-facing discussions
  • Lead squads of L0/L1 engineers—ensuring delivery quality, mentoring, and guiding career growth
  • Develop cloud-native data engineering solutions using Python, SQL, PySpark, and modern data frameworks
  • Ensure data reliability, performance, and maintainability across the pipeline lifecycle—from development to deployment
  • Support long-term ODC/T&M projects by demonstrating expertise during technical discussions and interviews
  • Integrate emerging GenAI tools where applicable to enhance data enrichment, automation, and transformations
What we offer
What we offer
  • Opportunity to work at the intersection of Data Engineering, Cloud, and Generative AI
  • Hands-on exposure to modern data stacks and emerging AI technologies
  • Collaboration with experts across Data, AI/ML, and cloud practices
  • Access to structured learning, certifications, and leadership mentoring
  • Competitive compensation with fast-track career growth and visibility
  • Fulltime
Read More
Arrow Right

Senior AWS Data Engineer / Data Platform Engineer

We are seeking a highly experienced Senior AWS Data Engineer to design, build, a...
Location
Location
United Arab Emirates , Dubai
Salary
Salary:
Not provided
northbaysolutions.com Logo
NorthBay
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of experience in data engineering and data platform development
  • Strong hands-on experience with: AWS Glue
  • Amazon EMR (Spark)
  • AWS Lambda
  • Apache Airflow (MWAA)
  • Amazon EC2
  • Amazon CloudWatch
  • Amazon Redshift
  • Amazon DynamoDB
  • AWS DataZone
Job Responsibility
Job Responsibility
  • Design, develop, and optimize scalable data pipelines using AWS native services
  • Lead the implementation of batch and near-real-time data processing solutions
  • Architect and manage data ingestion, transformation, and storage layers
  • Build and maintain ETL/ELT workflows using AWS Glue and Apache Spark on EMR
  • Orchestrate complex data workflows using Apache Airflow (MWAA)
  • Develop and manage serverless data processing using AWS Lambda
  • Design and optimize data warehouses using Amazon Redshift
  • Implement and manage NoSQL data models using Amazon DynamoDB
  • Utilize AWS DataZone for data governance, cataloging, and access management
  • Monitor, log, and troubleshoot data pipelines using Amazon CloudWatch
  • Fulltime
Read More
Arrow Right

Software Engineer (Data Engineering)

We are seeking a Software Engineer (Data Engineering) who can seamlessly integra...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
nstarxinc.com Logo
NStarX
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years in Data Engineering and AI/ML roles
  • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
  • Python, SQL, Bash, PySpark, Spark SQL, boto3, pandas
  • Apache Spark on EMR (driver/executor model, sizing, dynamic allocation)
  • Amazon S3 (Parquet) with lifecycle management to Glacier
  • AWS Glue Catalog and Crawlers
  • AWS Step Functions, AWS Lambda, Amazon EventBridge
  • CloudWatch Logs and Metrics, Kinesis Data Firehose (or Kafka/MSK)
  • Amazon Redshift and Redshift Spectrum
  • IAM (least privilege), Secrets Manager, SSM
Job Responsibility
Job Responsibility
  • Design, build, and maintain scalable ETL and ELT pipelines for large-scale data processing
  • Develop and optimize data architectures supporting analytics and ML workflows
  • Ensure data integrity, security, and compliance with organizational and industry standards
  • Collaborate with DevOps teams to deploy and monitor data pipelines in production environments
  • Build predictive and prescriptive models leveraging AI and ML techniques
  • Develop and deploy machine learning and deep learning models using TensorFlow, PyTorch, or Scikit-learn
  • Perform feature engineering, statistical analysis, and data preprocessing
  • Continuously monitor and optimize models for accuracy and scalability
  • Integrate AI-driven insights into business processes and strategies
  • Serve as the technical liaison between NStarX and client teams
What we offer
What we offer
  • Competitive salary and performance-based incentives
  • Opportunity to work on cutting-edge AI and ML projects
  • Exposure to global clients and international project delivery
  • Continuous learning and professional development opportunities
  • Competitive base + commission
  • Fast growth into leadership roles
  • Fulltime
Read More
Arrow Right

Senior Software Engineer, Data Engineering

Join us in building the future of finance. Our mission is to democratize finance...
Location
Location
United States , Menlo Park
Salary
Salary:
146000.00 - 198000.00 USD / Year
robinhood.com Logo
Robinhood
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of professional experience building end-to-end data pipelines
  • Hands-on software engineering experience, with the ability to write production-level code in Python for user-facing applications, services, or systems (not just data scripting or automation)
  • Expert at building and maintaining large-scale data pipelines using open source frameworks (Spark, Flink, etc)
  • Strong SQL (Presto, Spark SQL, etc) skills
  • Experience solving problems across the data stack (Data Infrastructure, Analytics and Visualization platforms)
  • Expert collaborator with the ability to democratize data through actionable insights and solutions
Job Responsibility
Job Responsibility
  • Help define and build key datasets across all Robinhood product areas. Lead the evolution of these datasets as use cases grow
  • Build scalable data pipelines using Python, Spark and Airflow to move data from different applications into our data lake
  • Partner with upstream engineering teams to enhance data generation patterns
  • Partner with data consumers across Robinhood to understand consumption patterns and design intuitive data models
  • Ideate and contribute to shared data engineering tooling and standards
  • Define and promote data engineering best practices across the company
What we offer
What we offer
  • Market competitive and pay equity-focused compensation structure
  • 100% paid health insurance for employees with 90% coverage for dependents
  • Annual lifestyle wallet for personal wellness, learning and development, and more
  • Lifetime maximum benefit for family forming and fertility benefits
  • Dedicated mental health support for employees and eligible dependents
  • Generous time away including company holidays, paid time off, sick time, parental leave, and more
  • Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits
  • Bonus opportunities
  • Equity
  • Fulltime
Read More
Arrow Right

Software Engineer, Data Engineering

Join us in building the future of finance. Our mission is to democratize finance...
Location
Location
Canada , Toronto
Salary
Salary:
124000.00 - 145000.00 CAD / Year
robinhood.com Logo
Robinhood
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 3+ years of professional experience building end-to-end data pipelines
  • Hands-on software engineering experience, with the ability to write production-level code in Python for user-facing applications, services, or systems (not just data scripting or automation)
  • Expert at building and maintaining large-scale data pipelines using open source frameworks (Spark, Flink, etc)
  • Strong SQL (Presto, Spark SQL, etc) skills
  • Experience solving problems across the data stack (Data Infrastructure, Analytics and Visualization platforms)
  • Expert collaborator with the ability to democratize data through actionable insights and solutions
Job Responsibility
Job Responsibility
  • Help define and build key datasets across all Robinhood product areas. Lead the evolution of these datasets as use cases grow
  • Build scalable data pipelines using Python, Spark and Airflow to move data from different applications into our data lake
  • Partner with upstream engineering teams to enhance data generation patterns
  • Partner with data consumers across Robinhood to understand consumption patterns and design intuitive data models
  • Ideate and contribute to shared data engineering tooling and standards
  • Define and promote data engineering best practices across the company
What we offer
What we offer
  • bonus opportunities
  • equity
  • benefits
  • Fulltime
Read More
Arrow Right

Software Engineer - Data Engineering

Akuna Capital is a leading proprietary trading firm specializing in options mark...
Location
Location
United States , Chicago
Salary
Salary:
130000.00 USD / Year
akunacapital.com Logo
AKUNA CAPITAL
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • BS/MS/PhD in Computer Science, Engineering, Physics, Math, or equivalent technical field
  • 5+ years of professional experience developing software applications
  • Java/Scala experience required
  • Highly motivated and willing to take ownership of high-impact projects upon arrival
  • Prior hands-on experience with data platforms and technologies such as Delta Lake, Spark, Kubernetes, Kafka, ClickHouse, and/or Presto/Trino
  • Experience building large-scale batch and streaming pipelines with strict SLA and data quality requirements
  • Must possess excellent communication, analytical, and problem-solving skills
  • Recent hands-on experience with AWS Cloud development, deployment and monitoring necessary
  • Demonstrated experience working on an Agile team employing software engineering best practices, such as GitOps and CI/CD, to deliver complex software projects
  • The ability to react quickly and accurately to rapidly changing market conditions, including the ability to quickly and accurately respond and/or solve math and coding problems are essential functions of the role
Job Responsibility
Job Responsibility
  • Work within a growing Data Engineering division supporting the strategic role of data at Akuna
  • Drive the ongoing design and expansion of our data platform across a wide variety of data sources, supporting an array of streaming, operational and research workflows
  • Work closely with Trading, Quant, Technology & Business Operations teams throughout the firm to identify how data is produced and consumed, helping to define and deliver high impact projects
  • Build and deploy batch and streaming pipelines to collect and transform our rapidly growing Big Data set within our hybrid cloud architecture utilizing Kubernetes/EKS, Kafka/MSK and Databricks/Spark
  • Mentor junior engineers in software and data engineering best practices
  • Produce clean, well-tested, and documented code with a clear design to support mission critical applications
  • Build automated data validation test suites that ensure that data is processed and published in accordance with well-defined Service Level Agreements (SLA’s) pertaining to data quality, data availability and data correctness
  • Challenge the status quo and help push our organization forward, as we grow beyond the limits of our current tech stack
What we offer
What we offer
  • Discretionary performance bonus
  • Comprehensive benefits package that may encompass employer-paid medical, dental, vision, retirement contributions, paid time off, and other benefits
  • Fulltime
Read More
Arrow Right

Data Engineer, Enterprise Data, Analytics and Innovation

Are you passionate about building robust data infrastructure and enabling innova...
Location
Location
United States
Salary
Salary:
110000.00 - 125000.00 USD / Year
vaniamgroup.com Logo
Vaniam Group
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of professional experience in data engineering, ETL, or related roles
  • Strong proficiency in Python and SQL for data engineering
  • Hands-on experience building and maintaining pipelines in a lakehouse or modern data platform
  • Practical understanding of Medallion architectures and layered data design
  • Familiarity with modern data stack tools, including: Spark or PySpark
  • Workflow orchestration (Airflow, dbt, or similar)
  • Testing and observability frameworks
  • Containers (Docker) and Git-based version control
  • Excellent communication skills, problem-solving mindset, and a collaborative approach
Job Responsibility
Job Responsibility
  • Design, build, and operate reliable ETL and ELT pipelines in Python and SQL
  • Manage ingestion into Bronze, standardization and quality in Silver, and curated serving in Gold layers of our Medallion architecture
  • Maintain ingestion from transactional MySQL systems into Vaniam Core to keep production data flows seamless
  • Implement observability, data quality checks, and lineage tracking to ensure trust in all downstream datasets
  • Develop schemas, tables, and views optimized for analytics, APIs, and product use cases
  • Apply and enforce best practices for security, privacy, compliance, and access control, ensuring data integrity across sensitive healthcare domains
  • Maintain clear and consistent documentation for datasets, pipelines, and operating procedures
  • Lead the integration of third-party datasets, client-provided sources, and new product-generated data into Vaniam Core
  • Partner with product and innovation teams to build repeatable processes for onboarding new data streams
  • Ensure harmonization, normalization, and governance across varied data types (scientific, engagement, operational)
What we offer
What we offer
  • 100% remote environment with opportunities for local meet-ups
  • Positive, diverse, and supportive culture
  • Passionate about serving clients focused on Cancer and Blood diseases
  • Investment in you with opportunities for professional growth and personal development through Vaniam Group University
  • Health benefits – medical, dental, vision
  • Generous parental leave benefit
  • Focused on your financial future with a 401(k) Plan and company match
  • Work-Life Balance and Flexibility
  • Flexible Time Off policy for rest and relaxation
  • Volunteer Time Off for community involvement
  • Fulltime
Read More
Arrow Right

Senior Data Engineering Architect

Location
Location
Poland
Salary
Salary:
Not provided
lingarogroup.com Logo
Lingaro
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven work experience as a Data Engineering Architect or a similar role and strong experience in in the Data & Analytics area
  • Strong understanding of data engineering concepts, including data modeling, ETL processes, data pipelines, and data governance
  • Expertise in designing and implementing scalable and efficient data processing frameworks
  • In-depth knowledge of various data technologies and tools, such as relational databases, NoSQL databases, data lakes, data warehouses, and big data frameworks (e.g., Hadoop, Spark)
  • Experience in selecting and integrating appropriate technologies to meet business requirements and long-term data strategy
  • Ability to work closely with stakeholders to understand business needs and translate them into data engineering solutions
  • Strong analytical and problem-solving skills, with the ability to identify and address complex data engineering challenges
  • Proficiency in Python, PySpark, SQL
  • Familiarity with cloud platforms and services, such as AWS, GCP, or Azure, and experience in designing and implementing data solutions in a cloud environment
  • Knowledge of data governance principles and best practices, including data privacy and security regulations
Job Responsibility
Job Responsibility
  • Collaborate with stakeholders to understand business requirements and translate them into data engineering solutions
  • Design and oversee the overall data architecture and infrastructure, ensuring scalability, performance, security, maintainability, and adherence to industry best practices
  • Define data models and data schemas to meet business needs, considering factors such as data volume, velocity, variety, and veracity
  • Select and integrate appropriate data technologies and tools, such as databases, data lakes, data warehouses, and big data frameworks, to support data processing and analysis
  • Create scalable and efficient data processing frameworks, including ETL (Extract, Transform, Load) processes, data pipelines, and data integration solutions
  • Ensure that data engineering solutions align with the organization's long-term data strategy and goals
  • Evaluate and recommend data governance strategies and practices, including data privacy, security, and compliance measures
  • Collaborate with data scientists, analysts, and other stakeholders to define data requirements and enable effective data analysis and reporting
  • Provide technical guidance and expertise to data engineering teams, promoting best practices and ensuring high-quality deliverables. Support to team throughout the implementation process, answering questions and addressing issues as they arise
  • Oversee the implementation of the solution, ensuring that it is implemented according to the design documents and technical specifications
What we offer
What we offer
  • Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites
  • Workation. Enjoy working from inspiring locations in line with our workation policy
  • Great Place to Work® certified employer
  • Flexibility regarding working hours and your preferred form of contract
  • Comprehensive online onboarding program with a “Buddy” from day 1
  • Cooperation with top-tier engineers and experts
  • Unlimited access to the Udemy learning platform from day 1
  • Certificate training programs. Lingarians earn 500+ technology certificates yearly
  • Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly
  • Grow as we grow as a company. 76% of our managers are internal promotions
Read More
Arrow Right